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Voltar para Julia Scientific Programming

Comentários e feedback de alunos de Julia Scientific Programming da instituição Universidade da Cidade do Cabo

415 classificações

Sobre o curso

This four-module course introduces users to Julia as a first language. Julia is a high-level, high-performance dynamic programming language developed specifically for scientific computing. This language will be particularly useful for applications in physics, chemistry, astronomy, engineering, data science, bioinformatics and many more. As open source software, you will always have it available throughout your working life. It can also be used from the command line, program files or a new type of interface known as a Jupyter notebook (which is freely available as a service from Julia is designed to address the requirements of high-performance numerical and scientific computing while also being effective for general-purpose programming. You will be able to access all the available processors and memory, scrape data from anywhere on the web, and have it always accessible through any device you care to use as long as it has a browser. Join us to discover new computing possibilities. Let's get started on learning Julia. By the end of the course you will be able to: - Programme using the Julia language by practising through assignments - Write your own simple Julia programs from scratch - Understand the advantages and capacities of Julia as a computing language - Work in Jupyter notebooks using the Julia language - Use various Julia packages such as Plots, DataFrames and Stats The course is delivered through video lectures, on-screen demonstrations, quizzes and practical peer-reviewed projects designed to give you an opportunity to work with the packages....

Melhores avaliações


14 de dez de 2020

Really great pacing, practical examples and quizzes without being overwhelming. Great for both beginners in programming and statistics, and for those with some experience. Awesome lesson, thank you!


26 de jan de 2018

Excellent, engaging teaching that makes me want to use Julia language (and Jupyter notebooks) all the time. As the language evolves, you need to adjust to newer Julia versions - just a part of fun.

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26 — 50 de 140 Avaliações para o Julia Scientific Programming

por sachin n

11 de mai de 2020

The course is great for beginners to get in touch with the application of a new programming language.

For someone with at least intermediate knowledge on the concepts, it is quite easy to crack the assignments. But still, this course gives you an insight into how easy it has made coding and visualization for people in the field of data science!

por Niclas F S

15 de ago de 2019

Very good introductory course! However, due to recent developments in the Julia language, some functions used in the Honors Content in Week 4 are deprecated and should be updated.

por Aniket P

18 de set de 2020

It was a good course. Those who are new to Julia will like it. I would want Coursera to update this course.

por Pratyush S

8 de mai de 2020

The course is hands on and provides a lot of information about Julia language which is essential and hard to discover.

However the course needs to update the content to the current version of Julia, including the new functions, functionalities and software support available. Too many typos are also present in the course that can be rectified as well.

Overall the course is good and recommended if one wants to discover Julia or for the fun of learning!

por Sherlock H

20 de set de 2020

A more or, less minimalized attempt to make familiar with Julia. This course is nowhere near what Julia is capable of (even in Introductory standards), but neverthless, it doesn't dissappoint. Resources are outdates. Heavy revision is strictly required with much more contents. Keep it up Team.

por Carlos A

18 de abr de 2021

The course needs to be updated to later versions of julia

por Rajesh R

7 de out de 2016

The course was a good overview of Julia, starting from the very basics. This makes it relevant for programming beginners at the start. As the course builds up, it nicely introduces Julia's complexity in the assignments, and introduced many of Julia's must-know features such as multiple dispatch and user defined types, without getting too daunting. The explanation was clear and crisp at all times. More content could be covered for data analysis and perhaps more forum discussion could be encouraged. The course didn't take a great deal of time to complete. Perhaps there is a need in the industry for a multiple Julia certification as the language gains momentum. I would recommend this course for those who want to get to know Julia and many key libraries in it for data analysis and visualization.

por Caio C R E

26 de jul de 2021

I just loved the course. The examples that were presented in an applied way really helped me understand the way this language works. I am really looking forward to learning more and more about this course. It would be really great to make an extension/ new course of advanced topics, I would be really interested in it. The only thing that I was not that satisfied with is that some codes were outdated, which is completely understandable since it is a new language and it keeps upgrading more and more every day, but I think that would be better if the notebooks were more updated. Loved the course, loved the language, gonna learn Machine Learning with Julia!

por Vinicius G

6 de jun de 2017

The best thorough course for the foundations in analysis in Julia. I have not found any easy and complete explanation of Julia basics than this course. I completed the books Julia for Data Science by Anshul Joshi and other by Zacharias Voulgaris but they did not have as a solid foundation as this course has provided. Those books show more complex examples which will be easier to solve and understand after taking this course than the foundation provided in those books. Worth every penny for beginners to learn and experts to improve or polish their knowledge in Julia. Best course for beginners/expert I have ever had in my programming career.

por Varun R

14 de jan de 2017

I wasn't completely familiar with types in Julia and this course helped me understand a very important aspect of Julia programming. Now, I feel I have a much better understanding of how Julia works. The professors were amazing and the course was extremely crisp and fun. I would like to extend them my warm wishes and would want to know if an advanced level of Julia Programming course could be planned in the future

por Mark L

27 de ago de 2017

This is an excellent introduction to the Julia language. My only complaint is that the course was written when Julia 0.4.6 was the standard, so when I used the current Julia 0.6.0 some of the instructor-provided code contained deprecated functions, or did not run at all, requiring a trip to the Julia API to find the currently-used syntax. But this course is still very good in spite of the dated code.

por 刘晶

16 de jan de 2018

It's a very good course for beginners of Julia, though I have learned Julia for more than one year, I still learned many useful things in this course. Julia is so beautiful, wonderful and powerful, and two honorable professors have deep insight about it, I hope there are more and more people will learn it through this course and make the world better.

por ili t

17 de nov de 2016

This course was very interesting and well planned. The course material is clear and comprehensive. As for the instructors, they demonstrated experience and deep knowledge in Julia ana statistical software, proving their success for this course. I am certainly going to make Julia one of my main tools.

por Virgill D P

23 de ago de 2020

This course gave me more insight on how data should be compiled and expressing the meaning of it. On such way to express data is trough interactive graphs. Working with Big Data and the analysis of it helps a lot into making some of the most crucial decision.

por Shlok L

26 de ago de 2017

Liked the Honors course content. A good introduction to Julia. Recommended to all freshers in coding, especially for those who are pursuing courses in numerical techniques. You'll be able to write very intractable and efficient codes.

por gayatri l

6 de mar de 2020

It was exceptional and so fun.I have learned many exciting things such as mathematics functions in easy coding Such a great language to learn.It really going to be used by many aspiring data scientist.Thanks for the wonderful course.

por Yanal K

21 de mai de 2017

Amazing course, introduces the Julia Programming Language in a very intuitive way. Honor Assignments are a great bonus that give a more in-depth Julia experience. Highly recommended for anyone entering the Julia landscape.

por Gerardo L C D

15 de dez de 2020

Really great pacing, practical examples and quizzes without being overwhelming. Great for both beginners in programming and statistics, and for those with some experience. Awesome lesson, thank you!

por Niall B

15 de mai de 2021

I thoroughly enjoyed this course. The material is very clear and the exercises were enjoyable. Keen to learn more! It would be great to see an advanced Julia course here!

por Ben

19 de jul de 2021

Great course on Julia, the info is a bit old (uses 1.0 vs 1.6 current release). Other than that, a lot of good information and usage of Julia for scientific programming.

por Mark S

22 de nov de 2017

The course was excellent. Thank you for all the work that has gone into this. I recommend it for anyone who wishes to start using Julia or is simply curious about Julia.

por Muhammad B K

20 de mar de 2020

Very good. So interesting and informative. Teaches a lot about Julia programming language and even helps out with describing new models and hand on experience.

por Nicholas Y

8 de jun de 2020

Good introductory course to Julia programming language, explains well it's advantages, basic syntax. Looking forward towards intermediate level course.

por Bruno V d P C

23 de ago de 2020

An enthusiastic and very organized course on scientific omputing using Julia. Using a real world example as the main task material. Highly reccomend.

por Dinesh B P

2 de mai de 2020

I learned many thinks in Julia scientific programming. they want to add many thinks link simulation.It could help many people